Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Intelligent old-age care monitoring and early warning system and method

An early warning system and intelligent pension technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve the problems of high cost of hiring caregivers and no early warning effect, so as to speed up the calculation process and accuracy, and reduce risks. , the effect of rapid warning

Pending Publication Date: 2021-05-28
武汉爱科森网络科技有限公司
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The aging trend of China's population is becoming more and more obvious. Elderly care has become one of the social focus issues. Due to the influence of economy, concept and medical shortage, most elderly people choose to live at home for the elderly. Their children can take care of their parents after get off work, while at work, most of the elderly Living alone at home still has certain hidden dangers, and the cost of hiring caregivers is relatively high
[0003] At present, some home care systems for the elderly have emerged. By using fragmented applications of smart homes, such as using broadband or narrowband IoT edge devices to monitor and collect data on the health status and behavior of the elderly, once a dangerous situation occurs, trigger Early warning and push to the family members of the elderly. The edge devices include cameras and video cameras, which mainly focus on the monitoring and protection of the elderly’s home security. However, the existing nursing system only provides early warning after danger occurs, which does not play an early warning role.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Intelligent old-age care monitoring and early warning system and method
  • Intelligent old-age care monitoring and early warning system and method
  • Intelligent old-age care monitoring and early warning system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0087] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0088] see figure 1 As shown, the embodiment of the present invention provides an intelligent elderly care monitoring and early warning system and method, including an image acquisition module, an image recognition module, a decision-making module and an early warning module.

[0089] The image acquisition module is used to capture images of the daily life of the elderly at home.

[0090] The image recognition module is used to recognize the behavior and posture of the image information collected by the image collection module. In this embodiment, the gait feature is extracted by recognizing the gait.

[0091] The decision-making module judges whether there is an abnormal situation according to the behavior posture recognition result (judging whether there is a tilted fall through the gait characteristics), and sends an early warning message t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an intelligent old-age care monitoring and early warning system and method, and relates to the field of intelligent old-age care, and the system comprises an image collection module, an image recognition module, a decision making module and an early warning module. The image collection module is used for shooting daily life images of the elderly living at home; the image recognition module is used for carrying out behavior posture recognition on the image information acquired by the image acquisition module, that is, gait recognition is carried out, that is, gait features are extracted; the decision making module is used for judging whether an abnormal condition exists or not according to the behavior posture recognition result, and sending early warning information to the alarm module, the mobile equipment of the family member or / and the related platform when the abnormal condition exists; and the early warning module is arranged in the home of the elderly living at home, and gives an alarm to remind the elderly to stop the current action and have a rest when receiving the early warning information of the decision making module. Early warning can be carried out before danger occurs, and the risk that old people fall down is effectively reduced.

Description

technical field [0001] The invention relates to the field of intelligent elderly care, in particular to an intelligent elderly care monitoring and early warning system and method. Background technique [0002] The aging trend of China's population is becoming more and more obvious. Elderly care has become one of the social focus issues. Due to the influence of economy, concept and medical shortage, most elderly people choose to live at home for the elderly. Their children can take care of their parents after get off work, while at work, most of the elderly Living alone at home still has certain hidden dangers, and the cost of hiring caregivers is relatively high. [0003] At present, some home care systems for the elderly have emerged. By using fragmented applications of smart homes, such as broadband or narrowband IoT edge devices, the health status and behavior activities of the elderly are monitored and collected. Once a dangerous situation occurs, it will trigger The ear...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G16Y10/60G16Y20/40G16Y40/10
CPCG06N3/084G16Y10/60G16Y20/40G16Y40/10G06V40/20G06V20/46G06N3/044G06N3/045G06F18/24G06F18/214
Inventor 刘诏书郑舟白浩吉飞葛锦智段钧
Owner 武汉爱科森网络科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products